How do I increase my rate limits with this skill?

By providing an email address when initializing the client, you access the 'polite pool,' which increases your rate limit from 1 to 10 requests per second.

What kind of academic entities can I query?

This skill supports querying works, authors, institutions, sources (journals), topics, publishers, and funders.

Does this skill support large-scale data extraction?

Yes, it includes features for pagination, batch lookups for multiple DOIs, and random sampling for large-scale data analysis and exports.

Do I need an API key to use the OpenAlex database?

No, OpenAlex is a completely open database and does not require an API key, making it accessible for immediate integration and research.

Can I search for specific authors by name directly?

While you can search by name, it is best practice to use the two-step pattern: first retrieve the unique author ID, then filter works by that ID for maximum accuracy.

OpenAlex Scholarly Database

Name: OpenAlex Scholarly Database
Author: pur3v4d3r

bypur3v4d3r

•

Data Science & ML

Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex API for comprehensive bibliometric research.

About

The OpenAlex Database skill empowers researchers and developers to programmatically navigate the world's scholarly landscape by providing access to an open catalog of millions of papers, citations, and research entities. This skill facilitates automated literature searches, citation tracking, institutional output analysis, and trend discovery without requiring an API key. It is particularly useful for building bibliometric tools, conducting systematic reviews, or analyzing research impact across global academic disciplines using standardized Python workflows.

Key Features

Search 240M+ scholarly works by title, abstract, or topic with advanced filtering
1 GitHub stars
Track citation counts and perform automated citation network analysis
Identify research output by specific authors and institutions using disambiguated IDs
Analyze publication trends and research focus areas through temporal and topic grouping
Discover and filter for Open Access publications across gold, green, and hybrid statuses

Use Cases

Mapping the research impact and publication history of universities or individual scientists for institutional evaluation
Conducting large-scale bibliometric studies and research trend analysis for academic reports
Automating the discovery of open-access papers for specific research topics or literature reviews

About

Key Features

Search 240M+ scholarly works by title, abstract, or topic with advanced filtering
1 GitHub stars
Track citation counts and perform automated citation network analysis
Identify research output by specific authors and institutions using disambiguated IDs
Analyze publication trends and research focus areas through temporal and topic grouping
Discover and filter for Open Access publications across gold, green, and hybrid statuses

Use Cases

Mapping the research impact and publication history of universities or individual scientists for institutional evaluation
Conducting large-scale bibliometric studies and research trend analysis for academic reports
Automating the discovery of open-access papers for specific research topics or literature reviews